Master of Engineering in Applied Artificial Intelligence (STEM)

at EDUCO - Stevens Institute of Technology USA

The Business Intelligence & Analytics master's program provides a blend of analytical and professional skills to help you become the kind of manager who challenges assumptions and uses data to make evidence-based decisions. At Stevens, you'll master new tools that will help you refine products, services and strategies while setting the pace for your company in markets undergoing constant, technology-driven change.

The curriculum covers the concepts at the forefront of the data revolution — machine learning, language processing, web mining, optimization and risk. Classes explore key business concepts while going beyond basics in R, SAS, Hadoop, Python and Spark. The program culminates in a capstone experience in which you'll work on a project, using real data, under the guidance of an industry mentor.

Get on the fast track to make an impact in one of today’s fastest growing fields with a machine learning master’s degree.

The machine learning master’s program establishes the theoretical and practical foundations necessary to be at the forefront of progress in the next technological revolution. Advancements made in machine learning and related disciplines will soon touch every piece of technology, making an advanced degree an essential asset for a successful career.

The rapidly expanding field of machine learning has a multitude of applications in diverse areas such as intelligent systems, computer vision, speech recognition, natural language processing, robotics, finance, information retrieval, bioinformatics, healthcare, and weather prediction.

Our unique machine learning master’s program develops a thorough understanding of deep learning theory and familiarizes students with the most important paradigms. This allows them to apply or develop the appropriate methods in real-world applications, whether pursuing a career in industry, academia, or research.

The Analytics MBA at Stevens is a STEM program for recent college graduates who have studied a technical discipline, have limited professional experience and want to quickly earn an advanced degree to compete for exciting jobs at the world’s most prestigious companies — where, increasingly, even early-career work requires a master’s.

Here, faculty present traditional themes like strategy, marketing, finance and accounting through an analytical, problem-solving lens, with an emphasis on applying data-intensive methods to industry challenges. And the program’s structure encourages your personal and professional development through career support, mentorship and business immersion.

In today's complex, competitive world of data and technology, the global healthcare, cybersecurity, environment, natural and man-made disaster-related challenges that we face have created demand for a new type of professional — one who deals in "big data." Employers across industries are increasingly seeking individuals with data visualization and data analytics capacities who can model uncertainty in systems, perform decision analysis and develop quantitative approaches to engineering enterprise management strategies.

In the challenging and fast-paced 21st century environment, the critical role of an engineering manager calls for a professional who is skilled in the creation, application and management of technology to solve complex issues, invent new processes and products, build new enterprises and gain actionable insights from data. Individuals who seek to develop these skills come to the School of Systems & Enterprises' (SSE's) Master of Engineering in engineering management program.

The program provides students with a strong understanding of the technology involved in engineering projects and the management process through which these technologies are applied. Through the Master of Engineering in engineering management, the SSE seeks to create engineers who can interface with technical and business aspects to add the most value to their respective enterprises.

In the 21st century, the demand for capable systems leaders with the technical knowledge to design, operate and maintain cutting-edge systems in an increasingly complex, globally interconnected business and policy environment is at an all-time high. The systems leaders of tomorrow come to the School of Systems & Enterprises (SSE) today to develop the knowledge base necessary to succeed in systems engineering across industries.

The SSE is the largest provider of systems engineering education to the United States federal government and to industries worldwide, such as aerospace, automotive, defense and healthcare industries. Our Master of Engineering program teaches students the multidisciplinary skills and approaches needed for the architecture/design and management of complex technical systems and processes throughout their life cycles.

Students are exposed to the right blend of engineering, technology and management training to prepare them to immediately step into technical leadership roles post-graduation. Master of Engineering program graduates aren't just able to successfully navigate and manage complex systems — they are also able to apply their systems thinking at the system and enterprises levels to spearhead systems integration, address life cycle issues and standout in a market where globalization, quality, complexity and productivity are business drivers.

The challenges facing managers are increasingly as much about technology as they are about people.

The master’s degree in Technology Management at Stevens is designed to give you the skills and perspective required to lead in environments where technology is central to the mission — and at a pace that's ideal for professionals. Rather than taking classes after a busy day in the office, you'll do so on alternating Saturdays as part of a cohort of experienced professionals. Faculty in this program are particularly distinguished for their corporate experience, and their insights from research and the workplace will prepare you for the challenges of leadership in the digital age.

Intended to meet the need for professionals who can harness complex data and convert it into meaningful information, the Master of Engineering in systems analytics provides students with expertise in visualizing, manipulating and extracting important concepts from systems data, complemented by training in traditional systems decision-making.

The master’s degree equips students with state-of-the art data visualization and knowledge extraction techniques for the purpose of analyzing trends, assessing risk, discovering patterns and building decision models that can better develop, maintain and improve complex engineering systems and enterprises.

In the applied artificial intelligence masters program, graduate students develop a strong background in the theoretical foundations and algorithm development in artificial intelligence and deep learning with a thorough understanding of a variety of engineering applications. Students will learn a blend of software and hardware skills that are applicable across multiple engineering domains.

Students are immersed in a hands-on approach to learning within a mix of course offerings, from fundamental core courses to state-of-the art topics such as internet of things (IoT), information systems security, and big data applications.

Masters students in the applied artificial intelligence program have the opportunity to work on exciting new projects and applications relating to:

• Machine learning
• Deep learning
• Image processing and computer vision
• Autonomous robotics
• Smart health
• Biomedical engineering
• Transportation engineering
• Financial engineering
• Embedded systems
• Software engineering
• Intelligent communications networks

Concentrations

• Artificial Intelligence in Design and Construction
• Biomedical Engineering
• Computer Engineering
• Data Engineering
• Electrical Engineering
• Mechanical Engineering
• Software Engineering
• Systems Biology

From market and technological changes to policy and budgetary uncertainty, the space industry has been faced with increasing challenges that transcend technical boundaries.

The Master of Engineering in space systems engineering at Stevens, delivered by the primary authors in the field of space systems today, provides experienced professionals with the edge needed to excel in this increasingly complex and competitive industry. Stevens is a recognized provider of space systems engineering education to NASA employees and space industry professionals worldwide, taught in partnership with Teaching Science and Technology, Inc. (TSTI).

In today's space related enterprises, change is the only constant. To fully utilize existing opportunities and explore new ones within a modern space-centric enterprise, it is crucial to have both the technical knowledge necessary to design cutting edge space missions and associated products, as well as the systems knowledge that is required to operate in an increasingly complex technical, business and policy environment.

At Stevens, the graduate certificate in space systems engineering and the master's degree in either space systems engineering or systems engineering with a concentration in space systems allows professionals working in government and the private space-related enterprises to combine robust technical education in space systems design and development, and key space systems processes, with a holistic understanding of systems engineering principles.

Solidify your mathematical foundations and learn to apply advanced math with problem-solving in the mathematics master’s program.

Practical mathematics can be found in nearly every corner of the known universe and in many industries. Integral to the fields of natural science and engineering, mathematics often leads to new discoveries in business and technology.

At Stevens, the mathematics master’s program approaches inquiry and research with a focus on pure mathematics. Pure mathematics investigates fundamental topics in math theory, analysis and calculation, and this program offers collaborative, cross-disciplinary opportunities through research and electives. Subjects examined throughout this program include complex algebra, probability, combinatorial analysis, topology and stochastic processes. Students will learn to effectively use and understand advanced mathematical techniques, such as those emerging in data science.